CDAO Melbourne schedule

How do organisations approach data governance in a scalable way without slowing down innovation?

Key talk points include:

• What are the challenges with governance and how we scale our organisations?
• What innovative strategies that can use a strong governance stance?
• What are some ideas to align governance with new business objectives?

Moderator: 

Kathryn Gulifa, GM Data and Analytics, HBF

Panellists:

Benjamin Dussaud, Head of Data Analytics and Insights, Grill’d

Sean Lee, Director, Advanced Analytics, RMIT

Ryan Keeley, Head of Data Enablement, Treasury Wine Estates

• Successful data management, collection and governance: the trinity of perfection.
• Upcoming technologies and infrastructure ideas to keep an eye on
• What is the 5-year plan for a future-focussed data-driven organisation?

Building a scalable and trusted AI program isn’t a one time event — it’s a living entity within your organisation. Regular and consistent monitoring of AI models, the data that feed them, and the regulations that guide them are needed. In this session we’ll discuss the importance of active metadata and outline an AI Governance framework to help guide organisations on what’s needed to ensure the success of their AI governance programs. 

• Improving patient care with informed decision-making: How data can improve insights
• What are the tools and techniques transforming patient pathways?
• Driving new efficiencies: Saving time while improving care with the power of data

A case study on Beyond Blue’s journey to 
build a strategic data insights platform, to 
support their mission of becoming 
Australia’s leading mental health provider.

Speakers: 

Tonya Higgins, Head of Business 
Intelligence, Beyond Blue 

Michael Cassar, BI Platform Owner and 
Business Intelligence Architect, Beyond 
Blue

George Bassili, Managing Partner and 
Data Practice Director, IM Systems

Ali Mirzaei, Head Data Scientist and Data 
Architect, IM Systems

• Can you quantity if you have a data-driven organisation?
• Cultivating relationships in the name of data
• What to do about culture? What is the weakest link in culture for your organisation?
  

 

Moderator: 

Siddhant Sharma, Technology Leader - AI & Data Analytics, Racing Victoria

 

Panellists:

Amanda Princi, Head of Data Enablement, Transurban

Usman Zafar, Principal, Data Fabric – Enterprise Architecture, Invesco

Olga Vasilyeva, Chief Information Officer, Tertiary Education Quality and Standards Agency

Data governance is growing in urgency and prominence. With an increasingly complex regulatory landscape and a heightened desire among organisations to harness their data assets effectively, it has become paramount to strengthen data governance capabilities and invest in data technologies. This session will outline five challenges that impede the implementation of data governance at scale and the realisation of true data intelligence. 
In this fireside discussion we will step the audience through the ‘survivable’ five and recommendations including:

•    Limited resources
•    Overwhelming Scope and Complexities
•    Leadership and Stakeholder Buy-In
•    Poor data quality and context
•    Lack of data controls

Underpinning this open discussion is the question of data relevance – learn about the crucial questions that ensure your data governance efforts focus on what's truly critical, guaranteeing that data is not just available, but also purposefully tailored and fit for purpose.

Speakers:

Chad Barendse, Data Governance Manager, Aware Super

Luke Coley, Regional VP, Sales ANZ, Alation 

Moderator:
Anitha Vallabh, General Manager, Data and Reporting Chapter, Telstra 

Panellists:

Ben Pattison, Head of Data & Analytics, DuluxGroup

Benjamin Dussaud, Head of Data Analytics and Insights, Grill’d

Niro Sathiyamoorthy, Head of Business Intelligence & Analytics – Retail, Australian Unity

 

The data within your organization holds great opportunity. Opportunity to generate more revenue, develop new products and services, improve customer service, outcompete your competitors and uplevel your business. But to make the most of it, you must evolve and mature your organization’s data-related capabilities, data literacy and data culture.

 

Data maturity measures an organization’s level and effectiveness of using their data to drive decision-making. Raising your maturity level starts with data modeling as it is essential to designing, developing, and deploying the high-quality data assets within your organization that will ultimately fuel your business. But its benefits don’t need to stop there.

 

In this session, we will discuss how having a Model to Marketplace approach to your data can be a great asset by helping you identify your current capabilities and provide a roadmap of where to focus your investments and resourcing to achieve progressive ROI as you work to maximize the value of your data.

 

Speakers:

Angela Maniscalco, Enterprise Sales Director, Quest Software (erwin)

Dr. Lisa Dethridge, School of Media and Communication, RMIT University

Dr Jonathan Gray, Lead Partner, Enterprise Data & Information Management, Anchoram Consulting

• Integrating data into healthcare strategies for more accurate decisions making
• Supporting data literacy at all quarters of the industry: Why data skills are vital from the reception staff to the clinicians to the operations teams
• Respecting the patient experience in data collection and data usage

The rapid rise of Generative AI, such as ChatGPT, Bard, Vertex and more, is the latest example of how data leaders must constantly balance the need for enabling innovations around data with ensuring their organizations address all of their data obligations. These new technologies promise many exciting new opportunities to improve and streamline processes in just about all areas of the business, including marketing, customer service, engineering and more. At the same time, harnessing these new tools and their Large Language Models (LLMs) comes with risks that must be managed.

Join our session to explore how data leaders are navigating governance around these emerging technologies, and how a framework of unified data controls across silos can help accelerate innovation. You will explore:

-       Unique challenges of governing data in the Generative AI era
-       Building policies and controls that adapt to rapidly evolving data landscapes
-       How to effectively work across silos of privacy, governance and security
-       Key considerations in selecting platforms to manage and govern sensitive data
-       Best practices for adopting Generative AI responsibly

Presentation: Are you ready for Big Data Analytics? Assessing your team readiness for big data analytics 

Top-performing organisations use analytics five times more than lower performers (LaValle et al. 2011). Big data analytics is not only helping achieve sustainable competitive advantage, enhancing organisational agility, leads to better performance, and could bring potential operational and organisational benefits. Although big data analytics can bring enormous benefits, organisations are finding it challenging to realise the true potential of data. Organisational readiness in effective application big data analytics need to be considered. The workshop provides an overview of big data rediness assessment and required key capabilities to increase organisations’ chances of successful implementation of big data analytics and its usage.

Data ethics governance processes are typically resource intensive, inefficient and fail to deliver business value at scale. Sarah explores an alternate approach to operationalising data ethics principles so that they deliver on their promise: better customer experiences, more sustainable products, and increased team satisfaction.

Moderator:

Jade Haar, Head of Privacy and Data Ethics, NAB

Panellist:

Jan Lambrechts, Data Ethics Lead, ANZ

Brett Woolley, Head of Data Strategy & Governance, QBE Insurance

Benedict Chiu, Head of Data and Technology, Australian Conservation Foundation 

In this session, we will discuss bringing data and analytics to ‘the masses’ in organisations.

• What’s the best way to bring these insights to teams outside of the data scientists?

Moderator: 

Brett Woolley, Head of Data Strategy & Governance, QBE Insurance

Panellists: 

Anthony Perera, Director, Data & Analytics, La Trobe University

Tam Ta, BI Analytics Manager, Carlisle Homes Pty Ltd

• IoT usage for improved health & wellbeing outcomes
• Increased use of machine learning to combat chronic health issues
• Combining these advances for improved quality of life

 

In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.

To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.

AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:

• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks

Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.

Discover how Linkurious helps organisations detect, investigate, and prevent fraud. Attendees will see a live demonstration of the powerful data visualisation software in action, showcasing how it can be used to visualise and analyse complex fraud networks, identify suspicious patterns, and take proactive measures to protect against fraud. This session will also provide real-world examples and offer attendees the opportunity to engage in discussions and ask questions. By the end of the session, you will have a better understanding of how Linkurious can outsmart fraudsters and protect your organisation.

The world’s largest marine ecosystem, The Great Barrier Reef, is in peril. Widespread reconnaissance and action are the need of the hour. It’s a behemoth of a challenge that can’t be solved by an individual or an entity alone. Citizens of The Great Barrier Reef, along with partners like Sahaj, bring together a wide array of stakeholders ranging from the local government to marine scientists and technology partners to collaborate and secure the iconic ecological site. Through The Great Reef Census, its flagship initiative, survey images of the reef are captured and analysed online by everyday citizens on a one-of-a-kind AI/ML-powered data platform. Andy Ridley, founder/CEO of Citizens of the Great Barrier Reef, and Anand Iyengar, Managing Director of Sahaj Software, will delve into the scale of the problem, its complexities and nuances, and how technology is enabling them to protect and revitalise the reef.

Speakers:

Anand Iyengar, Managing Director, APAC, Sahaj Software

Andy Ridley, CEO, Citizens of the Great Barrier Reef

 

• Lessons learned: A how-to on overlaying AI and ML models onto legacy systems
• Dealing with big data: 19 years of data in 1 year
• Machine learning for pattern analysis

According to Gartner, 70% of Data & Analytics leaders are struggling to deliver a measurable return on investment.  Discovering and measuring value created by data and analytics is the missing piece of this puzzle.

We will provide a framework and practical advice you can use within your organisation, with real world examples to show how Teradata is helping our customers with this challenge today.

In today's data-driven business landscape, customer engagement has emerged as a crucial factor for sustained success. A Customer Data Platform (CDP) is a powerful tool that has gained significant traction in recent years, enabling organisations to unify and leverage their customer data for more personalised and effective engagement strategies.  Join our fireside chat with Evann Bottcher, Technology Leader, MYOB to delve into the concept of CDPs, their role in unifying diverse customer data sources, and the far-reaching benefits they offer in terms of customer engagement.

Speakers:

Ben Chamlet, Regional Director, Solution Engineering, APJ, Twilio Segment

Evann Bottcher, Technology Leader, MYOB

 

• AI is a means, not the end goal
• Businesses don’t speak 1s and 0s
• Framework to establish measurement structure at the start, not the end
• Proving out value one problem and one POC at a time

Moderator:

Rose Skandari, Data Science Manager, BP

Panellists:

Bhavika Unnadkat, Head of Data Analytics and Governance, EnergyAustralia

Champ Mendis, Chief Data Scientist, Triple A Super

Antony Ugoni, Chief Data Officer, Go1

Ana Roy, Head of Analytics – Merchandise, Kmart

Siddhant Sharma, Technology Leader - AI & Data Analytics, Racing Victoria

• Driving home the benefits of AI adoption
• Reassuring AI is there to support not replace
• Working towards building an AI-ready organisation

Speaker: 
Srividya Subramanian Vidyasagar, Tech Evangelist, Standard Chartered Bank

It’s no secret that smart organizations want to make more decisions fueled by data and analytics – but relatively few have breakthrough success.  A recent study showed that 97% of organizations are investing in big data and AI technologies but only 23% report being data driven.  What’s the bottleneck? Complex disparate data silos, a lack of data and analytic talent, inefficient and manual processes, and a lack of data literacy remain top inhibitors. What if an organization could upskill its workforce so all business teams and knowledge workers could use data and analytics to solve their companies most vexing challenges?  There is a way – a proven method – that helps organizations democratize analytics across an organization.

Join this session to understand:

• The stages of analytics maturity
• The divide between people and technology
• The unbalanced spending on data and analytics technologies
• A better way to do things – democratize analytics.

• Decisioning is critical to the capability of organisations – how can we get it into the rights hands quickly to augment and automate real-time decision-making?
• Overcoming the biggest hurdles to achieving embedded data enabled decision making
• Operationalising analytics into business decisions through democratised data access models
• Using DataOps and ModelOps to improve the flow and integration of data-driven decisions across the business
• Establishing robust data governance practices to drive better decision-making
  

 

Moderator: 

Alec Gardner, Director, Customer Advisory, AU/NZ, SAS

Panellists:

Craig Rowlands, General Manager Enterprise Data, Group Technology, Australian Unity

Anitha Vallabh, General Manager, Data and Reporting Chapter, Telstra

Darshil Mehta, Chief Data & Analytics Officer, ASIC

Sam Shaheen, Chief Data Officer (Director City Data), City of Melbourne 

Moderator: James Orton, Customer Success and Services Lead, ANZ, Dataiku 

Speaker: Dr Ben Forbes, Product Owner – Data Platform, Flybuys

COVID has highlighted the importance of being agile and adaptable in highly unpredictable environments. With modern organisation being data driven and insight led, this means that having an adaptable data architecture is critical to offer the needed agility and flexibility in these uncertain times. This presentation will discuss the drivers leading to the need for adaptability and offer 3 key take-aways that will help organisations build more adaptable data architecture and accelerate data driven initiatives.

• How analytics orchestration is different from data orchestration?
• Drawing parallels between analytics and musical orchestration 
• Why analytics orchestration is critical to drive business value
  
  

• Discuss how businesses respond quickly and effectively to emerging threats in the environment, and seize opportunities. 
• There are three main pillars: hyperawareness, informed decision-making, and fast execution. These pillars are not technologies, but rather technology-enabled capabilities. 
• Hear from Wouter Germishuys, TTI, Charlie Farah, Qlik, and Evan Hodge, IBT on how organisations are meeting this challenge.

 

Speakers:

Evan Hodge, Co-Founder and Technical Team Leader, IBT

Charlie Farah, Director, Solutions & Value Acceleration, Healthcare & Public Sector , Qlik

Wouter Germishuys, Enterprise Data Manager ANZ, Techtronic Industries Australia Pty Ltd

 

• What do you believe makes a great data leader?
• How can data leaders contribute and collaborate on strategy and vision for their organisation
• How do you inspire and educate the next generation of data leaders
  
  

 

Moderator: 

Gino Lancaster, Founder, Strategic Talent Australia

 

Panellists:

Bob Sparshatt, Chief Data Officer, Data & Analytics, Equifax Australia/New Zealand

Amanda Princi, Head of Data Enablement, Transurban

Ian Jackman, General Manager Data and Analytics, Bendigo and Adelaide Bank

Bhavika Unnadkat, Head of Data Analytics and Governance, EnergyAustralia

Alan Lowthorpe, (recently) General Manager of Data and Advanced Analytics, Wesfarmers

• Balancing strategic projects against analytics to run the business
• Prioritisation methodologies
• Stretching lean data and analytics resources
• Building the internal analytics brand to secure long term investment

 

 

Join this session to learn how enterprises in ANZ and Wider APAC are leveraging the rich relationships in their data to gain deep insights and drive business growth.

 

This session will examine how Team Global Express is using analytics to prepare their NGERS submission.

In an increasingly data-driven world, many organisations are facing mounting challenges in the timely delivery of data and insights. Recognising the imperative of empowering its teams with the tools and capabilities to derive fast, data-backed insights, La Trobe University embarked on a journey to democratise data and raise the level of data fluency across their business leveraging ThoughtSpot’s AI-powered analytics. Join this session to learn how they have modernised their data and analytics to enable a data-driven culture, drive business agility, and delight stakeholders.

Speakers:

Anthony Perera, Director, Data & Analytics, La Trobe University 

James Belsey, Director, Solutions Consulting, APJ, ThoughtSpot

In this session, the speaker will share their insights into the transformative nature of analytics. Key talk-points include

• Driving more value
• Pivoting the whole team towards new strategies
• Unlocking proper, measurable value
• Are we data people or transformation people?
• Adopting data and audience needs

• Integrate the existing language-based model to answer questions
• Make data insights more accessible for all users
• Deliver dynamic data stories

Keryn McKenzie, Chapter Area Lead - Services, Insights and Data Science, The Warehouse Group

Eric Poulin, General Manager, Australia & New Zealand, MicroStrategy

In this session, the speaker will share insights into how they transformed the use of data and analytics to drive meaningful impact. We will follow the progress starting from measuring what matters to how to tell the story, working with key champions, getting the engagement and buy-in needed, embedding analytics-driven processes, and finally enabling cultural change.

In this session, the participants will share best practices and teaching points on empowering workers to use, apply and appreciate data and analytics. Starting from literacy all the way to a strong data and analytics culture, we will explore how to get people to live and breathe data when no one is watching.

Moderators:

Anitha Vallabh, General Manager, Data and Reporting Chapter, Telstra

Amanda Princi, Head of Data Enablement, Transurban

Ann Sebastian, Data Science Manager, Wesfarmers One Digital

• How do you educate yourself and your team with the right information around AI: so to cut through the noise?
• Choosing your AI Partners, vendors, its goldmine or minefield?
• How do you lay down clear objectives for AI adoption within the organisation? 
• Top-down, bottom-up. Communicate the strategic importance of AI initiatives and how they align with the organisation's goals.
• Invest & Develop your AI Talent in-house: Hire or upskill data scientists, machine learning engineers, and AI experts to strengthen the organisation's AI capabilities.

Moderators:

Gino Lancaster, Founder & Recruitment Director, Strategic Talent Australia

Dan Fraser, GM Data Applications Engineering, Xero

Darshil Mehta, Chief Data & Analytics Officer, ASIC

 

Moderator:

Gerardo Luis Dimaguila, Health Informatics Team Lead, Centre for Health Analytics,  Melbourne Children’s Campus

Ian Evans, Data Science Principal Lead, Telstra

This session will be an open dialogue for different data teams (data engineering, data science, analytics and data governance) to have an open discussion on how they could work together to strengthen the role of data.  

Moderators:

Belinda Toniolo, Head of Data Governance, Quality and Engineering, RACV

Ben Pattison, Head of Data & Analytics, DuluxGroup

Kara Odum, Data Scientist, Wesfarmers OneDigital 

• The enormous AI opportunity and how we got here
• What does the future look like with Generative AI
• Practical advice on making your organization AI driven

Join Coert as he delivers an energetic talk aiming to provide data leaders with a profound “Touch Grass” moment. By bridging the gap between advanced analytics, machine learning, and the real-world challenges of reducing carbon emissions, Coert will discuss the ethical obligation we have to minimise Australia’s, and the world’s, carbon footprint.

Discover the remarkable strides made in leveraging data within industrial industries like mining and extract valuable insights from them. Uncover the indispensable role mining plays in achieving a net-zero carbon target by 2050 and how data science and data leadership can directly enhance energy efficiency, contributing to a 6% reduction in Australia’s energy consumption within one sector.

During the session, Coert will share practical lessons learned from his extensive experience leading resources analytics consulting at Deloitte, shaping global data strategy at BHP, and his current role as CEO of MaxMine—an internationally acclaimed data scaleup focused on high-growth solutions.

It’s high time for data governance that’s aligned with business priorities. Organisations could be facing challenges ranging from compliance and customer centricity initiatives to productivity improvements and decision support. But, organisations can’t lead data-driven digital transformation without effective data governance that’s tied to specific business objectives and outcome/ A pivotal aspect of any effective data governance program is data intelligence. It provides contextual understanding of your data and ensures the required level of trust and transparency. Making trusted data easily available for consumption is crucial to that effort.

To help accelerate your digital transformation journey, your organisation needs the ability to:

• Unlock data value quickly with predictive recommendations and automation
• Enable data discovery and understanding with connected metadata, context and insight across the data value chain
• Deliver inherent trust in data with unified governance, catalog, quality, master data management and marketplace capabilities.
• Empower data consumers to drive business outcomes with timely self-service.

Sandhya Iyer, GM, Data Science, Sportsbet

Niall Keating, General Manager – Technology, Data Platforms and Applications, Sportsbet

Shiraz Iskenderian, Technical Lead, Business Systems, Reece Group

John Cazanis of Snaplogic

• What can data potentially do for you?
• How do you see data shaping the organisation?
• Challenges, misgivings and what we can do about it?
• The ideal business future and how data will help make that a reality.
  

 

Moderator:
Benedict Chiu, Head of Data and Technology, Australian Conservation Foundation

Panellists:

Revital Rosenberg, Chief Data Officer, Murdoch Children’s Research Institute

Dhivian Govender, Chief Data, Analytics & Strategy Officer, Recoveriescorp

Manohar Esarapu, Chief Information and Innovation Officer, City of Port Phillip

Modern enhanced decision making relies on recruiting and retaining the right people, with the right skills and attributes, to champion modern data practices and continuously learn. Organisations have to consider how they ensure they have a data literate workforce, supported by strong investment in data skills, able to uplift organisational data maturity, and deliver on their outcomes. We all have a role in ensuring the professionalisation of our workforce, and the ability to equip them with the skills and attributes required of modern data practitioners. We will explore how there is no easy road to achieve this rapidly and the importance of culture, people, process, technology and information.

Moderator:
Jonas Christensen, Founder, Leaders of Analytics

Panellists:

Sudha Viswanathan, Director of Data & Analytics, Pitcher Partners

Michelle-Joy Low, Head of Data & AI, Reece Group

Clare Kitching, General Manager - Data, Insights & Analytics, Treasury Wine Estates

Discover the transformative potential of data analytics and how Tableau has empowered Origin to harness the untapped value of its data, driving cost efficiencies and facilitating optimal business performance. Join us as we delve into the dynamic data strategy, governance, and self-service analytics that drives Origin's decision-making landscape. We'll also demo the latest innovations from Tableau to help you accelerate into the future with AI + Data.

Speakers:

Sripurna Das, Technology Head of Data Services, Origin Energy

Stephane Roman, Director - Solution Engineering, Tableau

• Impact of generative AI on data analytics departments
• Monitoring the organisational perception of AI technologies
• Using the interest in generative AI to drive interest in data and analytics and a greater digital mindset

Moderator: 

Vicent Osabel, Principal Solutions Engineer, Dataiku

Panellists:

Artak Amirbekyan, Head of Data and Analytics, Customer and Technology, Transurban

Professor Karin Verspoor, Executive Dean, School of Computing Technologies, STEM 
College, RMIT University

Tim Sparks, Head of Data Science, QBE Insurance

Moderator:

Dmitri Markman, Executive, Data and Analytics, NAB

Benjamin Wegener, Partner, Chief Data Scientist, SEC Newgate

Abhra Pal, Lead Solutions Architect - Data & Cloud Infrastructure, TelstraSuper

 

Panellists:

Adam Gould, Head of Data Enablement, ANZ

Andrea Chang, Chief Data Officer, Comcare

Gerardo Luis Dimaguila, Health Informatics Officer, Murdoch Children’s Research Institute

• The challenges of implementing near or real-time data models – is it the promised land we believe it to be?
• Adjusting expectations to what we have access to and planning for the future.
• Best practices and use cases

 

Moderators:

Maruf Hossain, Data and AI Leader

Andre Easom, Head of Data Science, Sportsbet

• Accelerating expectations around for Data chiefs
• Navigating ambiguity when building a data strategy and executing
• Using heart to grow data science
• The delicate and sometimes murky balance between commercial and technical elements
• Build vs buy for analytics products and the role that an analytics team can play when we choose to buy
• Rightsizing governance across the organisation – it’s a real balance between encouraging getting started and enough guardrails for scale

Moderator:

Jonas Christensen, Founder, Leaders of Analytics

Panellists:

Clare Kitching, General Manager - Data, Insights & Analytics, Treasury Wine Estates

Dmitri Markman, Executive, Data and Analytics, NAB

Tam Ta, BI Analytics Manager, Carlisle Homes Pty Ltd

Join Coert as he delivers an energetic talk  aiming to provide data leaders with a profound “Touch Grass” moment. By bridging the gap between advanced analytics, machine learning, and the real-world challenges of reducing carbon emissions, Coert will discuss the ethical obligation we have to minimise Australia’s, and the world’s, carbon footprint.

Discover the remarkable strides made in leveraging data within industrial industries like mining and extract valuable insights from them. Uncover the indispensable role mining plays in achieving a net-zero carbon target by 2050 and how data science and data leadership can directly enhance energy efficiency, contributing to a 6% reduction in Australia’s energy consumption within one sector.

During the session, Coert will share practical lessons learned from his extensive experience leading resources analytics consulting at Deloitte, shaping global data strategy at BHP, and his current role as Executive Advisor of MaxMine—an internationally acclaimed data scaleup focused on high-growth solutions.